Past Events

Event Date:
Friday, April 19, 2024 - 4:00pm
Event Type:
NISS Sponsored
The University of Georgia, Department of Statistics and The Statistics Club jointly present the 2024 Bradley Lecture on Friday, April 19, 2024 at 4:00pm ET with featured speaker Dr. Dipak Kumar Dey (wiki-site), Board of Trustees Distinguished Professor in the Department of Statistics at the... more
Event Date:
Friday-Sunday, April 19-21, 2024
Event Type:
NISS Sponsored
Theory and Foundations of Statistics in the Era of Big Data A conference hosted by the Department of Statistics, Florida State University, in coordination with the International Indian Statistical Association (IISA), to celebrate the birth centenary of Debabrata Basu and Raghu Raj Bahadur and to... more
Event Date:
Wednesday, April 17, 2024 - 3 pm - 4:30 pm ET
Event Type:
NISS Hosted, NISS Sponsored
Event Location:
Zoom Webinar

United States
Speakers Reva Schwartz (NIST)  "Delivering trustworthy AI through risk-aware culture" Kevin Tupper (Microsoft) "Empowering your Statistics with Better Stories" Travis Hoppe (CDC/NCHS & FCSM) "Implementing generative AI at CDC" Stephanie Lee Studds (US Census Bureau) "Creative Use AI/ML at... more
Event Date:
April 8, 2024
Event Type:
NISS Sponsored
Event Location:
Rubenstein Auditorium & Commons
Perelman School of Medicine's Smilow Center for Translational Research
3400 Civic Center Boulevard
Philadelphia, Pennsylvania,
United States
Optimizing Dose Selection Across the Clinical Trials Spectrum April 8, 2024, The 16th Annual Conference on Statistical Issues in Clinical Trials will take place at the Rubenstein Auditorium & Commons at the Perelman School of Medicine's Smilow Center for Translational Research, 3400 Civic... more
Event Date:
Tuesday, April 2, 2024 at 3:00 - 4:30 pm ET
Event Type:
NISS Hosted
Speakers Scott Lee (CDC) "HaMLET: Enabling Quality Control at Scale for CDC’s Immigrant and Refugee Health Screening Program" Luca Sartore (USDA-NASS/NISS) "Predictive Cropland Data Layer: From Images to Statistics" Kusuma Prabhakara (Census) "U.S. Census Bureau Geography Division Satellite-... more
Event Date:
Friday, March 29, 2024 at 12-1pm ET
Event Type:
NISS Hosted, NISS Sponsored
Event Location:
Zoom Webinar

United States
Join us for another insightful webinar on the topic of leadership in the field of statistics genomics! The focus of this event will be to discuss how to successfully bridge the interests of statistics & data science and genetics & genomics, and how statisticians and data scientists can... more
Event Date:
Monday, March 18, 2024 - 3 pm - 4:30 pm ET
Event Type:
NISS Hosted, NISS Sponsored
  Speakers Ellen Galantucci (Federal Maritime Commission) "Safeguarding Confidentiality in Federal Statistics: Navigating AI Challenges" Emily Hadley (RTI International)  "Practical Approaches for Ensuring the Responsible Use of AI" Benjamin Reist (NORC) "Addressing Algorithm Bias/Fairness in... more
Event Date:
Monday, February 12, 2024 at 3:00 pm - 4:30 pm ET
Event Type:
NISS Hosted
Event Location:

United States
Speakers Brandon Kopp, US Bureau of Labor Statistics (BLS) "Clustering Federal Register Comments for Efficient, Manual Review" Benjamin Rogers, National Center for Health Statistics (NCHS/CDC) "Text Analytics: Background on Large Language Models and their usage" Kenneth Haase, US Census Bureau “... more
Event Date:
Tuesday, November 28, 2023 - 12 pm - 1 pm ET
Event Type:
NISS Hosted
Event Location:
Zoom Webinar

United States
Join us for our another insightful webinar on the topic of leadership in the field of statistics and data science. This webinar explores the critical role of statistical methods in harnessing the vast potential of electronic health records (EHR) data, showcasing cutting-edge research and practical... more
Event Date:
Friday, November 17, 2023 - 1:00pm to 3:00pm
Event Type:
NISS Hosted, NISS Sponsored
Event Location:
Zoom Webinar

United States
  Overview Generative language models like ChatGPT and others are rapidly changing the landscape of artificial intelligence. As these models become more prevalent, they raise numerous theoretical and practical questions about their use, limitations, and potential for bias. In this webinar, we... more

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